Learn Information Gain Calculation Part 3 - Intro to Machine Learning - Free Lesson

Intro to Machine Learning - Information Gain Calculation Part 3 - Intro to Machine Learning

5.0 (7)

55 learners

What you'll learn

This course includes

6.3 hours of video
Certificate of completion
Access on mobile and TV

Intro to Machine Learning Information Gain Calculation Part 3 - Intro to Machine Learning

Information Gain Calculation Part 3 - Intro to Machine Learning Transcript and Lesson Notes

Quick Summary

Key Takeaways

Review the core idea: This video is part of an online course, Intro to Machine Learning. Check out the course here: https://www.udacity.com/course/ud120. This course was designed as part of a program to help you and others become a Data Analy
Understand how machine learning fits into Information Gain Calculation Part 3 - Intro to Machine Learning.
Understand how data analysis fits into Information Gain Calculation Part 3 - Intro to Machine Learning.
Understand how datasets fits into Information Gain Calculation Part 3 - Intro to Machine Learning.
Understand how regressions fits into Information Gain Calculation Part 3 - Intro to Machine Learning.

Key Concepts

machine learning data analysis datasets regressions outliers unsupervised learning supervised classification decision trees SVM Naive Bayes React Laravel Docker Python JavaScript TypeScript PHP API SQL MySQL

Full Transcript

This video is part of an online course, Intro to Machine Learning. Check out the course here: https://www.udacity.com/course/ud120. This course was designed as part of a program to help you and others become a Data Analyst. You can check out the full details of the program here: https://www.udacity.com/course/nd002.

Lesson FAQs

What is Information Gain Calculation Part 3 - Intro to Machine Learning about?

What key concepts are covered in this lesson?

The lesson covers machine learning, data analysis, datasets, regressions, outliers.

What should I learn before Information Gain Calculation Part 3 - Intro to Machine Learning?

Review the previous lessons in Intro to Machine Learning, then use the transcript and key concepts on this page to fill any gaps.

How can I practice after this lesson?

Practice by applying the main concepts: machine learning, data analysis, datasets, regressions.

Does this lesson include a transcript?

Yes. The full transcript is visible on this page in indexable HTML sections.

Is this lesson free?

Yes. CourseHive lessons and courses are available to learn online for free.

Continue Learning

Previous lesson Information Gain Calculation Part 2 - Intro to Machine Learning Next lesson Information Gain Calculation Part 3 - Intro to Machine Learning

Continue this lesson in the app

Install CourseHive on Android or iOS to keep learning while you move.

Related Courses

30-Day Beginner Guitar Challenge for New Players

Master the Guitar in 30 Days: Your Ultimate Beginner Challenge! Unleash your inner guitarist with step-by-step lessons designed to transform you from novice to confident player. Join Your Guitar Academy and kickstart your musical journey today!

⭐ 4.3

36 ratings

7 hours